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Issue No.12 - Dec. (2011 vol.17)

pp: 1979-1988

Zhongzang Lin , Oregon State University

Guoning Chen , SCI, University of Utah

Harry Yeh , Oregon State University

Paul Vincent , Oregon State University

Robert Laramee , Swansea University

Darrel Palke , Oregon State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2011.170

ABSTRACT

Asymmetric tensor field visualization can provide important insight into fluid flows and solid deformations. Existing techniques for asymmetric tensor fields focus on the analysis, and simply use evenly-spaced hyperstreamlines on surfaces following eigenvectors and dual-eigenvectors in the tensor field. In this paper, we describe a hybrid visualization technique in which hyperstreamlines and elliptical glyphs are used in real and complex domains, respectively. This enables a more faithful representation of flow behaviors inside complex domains. In addition, we encode tensor magnitude, an important quantity in tensor field analysis, using the density of hyperstreamlines and sizes of glyphs. This allows colors to be used to encode other important tensor quantities. To facilitate quick visual exploration of the data from different viewpoints and at different resolutions, we employ an efficient image-space approach in which hyperstreamlines and glyphs are generated quickly in the image plane. The combination of these techniques leads to an efficient tensor field visualization system for domain scientists. We demonstrate the effectiveness of our visualization technique through applications to complex simulated engine fluid flow and earthquake deformation data. Feedback from domain expert scientists, who are also co-authors, is provided.

INDEX TERMS

Tensor field visualization, asymmetric tensor fields, vector field visualization, fluid dynamics, solid deformation, earthquakeengineering, glyph packing, hyperstreamline placement, view-dependent visualization.

CITATION

Zhongzang Lin, Guoning Chen, Harry Yeh, Paul Vincent, Robert Laramee, Darrel Palke, "Asymmetric Tensor Field Visualization for Surfaces",

*IEEE Transactions on Visualization & Computer Graphics*, vol.17, no. 12, pp. 1979-1988, Dec. 2011, doi:10.1109/TVCG.2011.170REFERENCES